Mean-Field Learning: a Survey

17 Oct 2012Hamidou TembineRaul TemponePedro Vilanova

In this paper we study iterative procedures for stationary equilibria in games with large number of players. Most of learning algorithms for games with continuous action spaces are limited to strict contraction best reply maps in which the Banach-Picard iteration converges with geometrical convergence rate... (read more)

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